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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/199543
EatingBarna: recomanador de restaurants a la ciutat de Barcelona
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Abstract
[en] Recommendation systems are present in many of the mobile applications we use on a daily basis. Companies like Amazon, Netflix or Spotify use these algorithms to improve the user experience in their products. This is a benefit but when there is an excess of content the recommendation system can be useless.
We will focus on transforming a website about restaurants in Barcelona into a mobile application that recommends restaurants adapted to the user’s profile, combining a first human filter and a recommendation system to mitigate content overdose.
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Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Petia Radeva
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MARTÍN MARTRUS, Joan. EatingBarna: recomanador de restaurants a la ciutat de Barcelona. [consulted: 18 of August of 2026]. Available at: https://hdl.handle.net/2445/199543